102results about How to "Long calculation time" patented technology

When a monitor apparatus judges that a vehicle has stopped at a predetermined position (step 705), the monitor apparatus transmits pseudo position information of the vehicle (dummy data) to an automatic charging apparatus (step 725). The automatic charging apparatus calculates a charge amount on the basis of the dummy data, and transmits the result of the calculation to the monitor apparatus. The monitor apparatus receives the result (step 735) and judges on the basis of the result whether the automatic charging apparatus is in an anomalous state (step 740). Since the above-described successive operations are performed only when the vehicle stays, the status of another automatic charging apparatus not monitored is not misidentified as the status of an automatic charging apparatus to be monitored.

A general, computational-mathematical modeling method for the solution of large, boundary-coupled transport problems involving the flow of mass, momentum, energy or subatomic particles is disclosed. The method employs a modeling processor that extracts a matrix operator equation (or set of equations) from a numerical transport code (NTC). The outputs of software codes, available for modeling physical problems governed by conservation laws in the form of differential equations, can be processed into closed-form operator equations with the method. Included is a numerical transport code functionalization (NTCF) model which can be determined numerically, based on a system of solutions of an NTC, evaluating outputs for a given set of inputs. The NTCF model is a linear or nonlinear, multi-variable operator equation or set of such equations. The NTCF model defines relationships between general, time-variable inputs and outputs, some known and some unknown, considered as boundary values. The user of an NTCF model can directly work with the processed model output, instead of running the original numerical code in general applications of a boundary-value problem. The numerical transport code functionalization model can be employed as a surrogate for representing the numerical transport code to provide a solution to the transport problem. The invention enables modeling efficiency and availability to be increased, while computational complexity and cost decreased. Computational times for complex modeling problems can, in some cases, be dramatially reduced, for example by several orders of magnitude.

The present invention is in the field of manufacturing, processing and design, and also packaging. Nesting is the process of placing objects together with minimal spaces between them. The invention is described below in two forms. The first form, set forth in Part I below, is directed to methods and systems for nesting of two dimensional (2D) objects in a target plane. The second form, set forth in Part II below, is directed to methods and systems for nesting three dimensional (3D) objects in a target volume. The specific details of the preferred embodiments are set forth in those respective parts.

Adaption of signal processing for actively reducing occlusion in hearing apparatuses, and in particular in hearing aids, is to be automated further. For this purpose, a transducer transmission function, which is defined for the transmission path from the input of a receiver via the auditory canal to the output of a microphone, be subjected to an automatic plausibility check. An adjustable filter via which the microphone signal is fed back is only altered if the transducer transmission function is plausible according to a predefined criterion. Disadvantageous convergences of the adaptation algorithm can be avoided hereby and unnecessarily high computing times can be prevented.

This invention provides a corrected image generating apparatus and the like for generating a corrected image by correcting a deflection due to the vibration of a camera in a raw image obtained by the camera which obtains the raw images of plural frames successively by scanning an object field of vision repeatedly in a scanning direction intersecting the arrangement direction of plural light receiving sensors composing the one-dimensional image pickup device in which the plural light receiving sensors are arranged one-dimensionally, in order to generate an image whose deflection is corrected. By obtaining a motion vector of each of short strips extending in the arrangement direction of the light receiving sensors of the one-dimensional image pickup device, the respective short strips are moved to obtain a corrected image.

The invention discloses a video stabilizing method based on local and bulk motion difference compensation. The method comprises the following steps: 1) acquiring motion tracks of feature points in adjacent video frames by an optical flow method, gridding the video frames, and calculating camera paths of grids and overall video frames according to a content saving constraint and a similarity invariant constraint; 2) calculating compensation matrixes between the overall camera paths and the grid camera paths, and calculating an optimized overall camera path according to constraints of path smoothening and overlapping; 3) calculating optimized grid camera paths according to compensation matrixes between the optimized overall camera path and the grid camera paths; and 4) solving deformation matrixes of the grids according to the non-optimized grid camera paths and the optimized grid camera paths, and deforming the grids to obtain stable video frames. Compared with an existing method, the video stabilizing method has the advantages that the number of paths needing to be optimized is reduced from the number of the grids to an overall path through the compensation matrixes, so that the calculation time is shortened, and the calculation efficiency is increased.

The invention discloses an airplane target classification method based on time domain correlation characteristics, and relates to the technical field of radar. The method includes the steps that firstly, a training sample peak value function is calculated; secondly, the variance, the entropy, the number of peaks with the values larger than a first training peak value threshold and a time domain point corresponding to the first peak with the value larger than a second training peak value threshold of the training sample peak value function are calculated; thirdly, the amplitude variance and the amplitude entropy of training samples are calculated; fourthly, training sample characteristic vectors are normalized, and a classifier is trained; fifthly, a test sample peak value function is calculated; sixthly, the variance, the entropy, the number of peaks with the values larger than a first test peak value threshold and a time domain point corresponding to the first peak with the value larger than a second test peak value threshold of the test sample peak value function are calculated; seventhly, the amplitude variance and the amplitude entropy of test samples are calculated; eighthly, test sample characteristic vectors are normalized and input into the classifier for class judgment. The method has good advantages at low repetition frequency and can be used for classification of three classes of airplane targets.

For characterizing a tone signal a sequence of quantized entry times for each of at least two tone sources over time is provided on the basis of a quantization raster. Hereupon, a common period length underlying the at least two tone sources is determined using the sequences of entry times. Hereupon, the sequence of entry times is divided into respective sub-sequences, wherein a length of a sub-sequence is equal to the common period length. Finally, the sub-sequences for the first tone source are combined into a first combined sub-sequence and for the second tone source into a second combined sub-sequence, i.e. for example using a pattern histogram, in order to characterize the tone signal by the first combined sub-sequence and by the second combined sub-sequence, e.g. with regard to rhythm, speed or genre.

In order to detect defects in display panels by an automatic way accurately and quickly, the present invention proposes a method combining image feature extraction and classifier model. It calculates the histograms of oriented gradient (HOG) of images of the display panel collected by an industrial camera of a detection apparatus as feature vectors. Then use them as input samples to train the classifier model to recognize the defects of the display panel.

A method of characterizing a video includes the steps of extracting frame images from an input video, calculating a time length between each of the frame images and a next one of the frame images, assigning index information determined by the calculated time length to each of the frame images, stringing together the index information assigned to the frame images, and characterizing the input video by the strung-together index information. The index information is a character code, and the strung-together index information is a character code string. The frame images include head frame images located at scene changes of the input video. The input video is being broadcasted or is included in a data base.

The present invention discloses a stereo image measuring device capable of carrying out high-speed and highly reliable three-dimensional measurement for a stereo image, easily correcting any omitted measurement, measurement errors or the like, and achieving a much higher speed, efficiency and reliability for measurement as a whole. A survey instrument measures a number of control points on site. A camera is, for example a digital camera, a film camera or the like. A control point search unit executes correlation between a control point measured beforehand by the instrument survey and an image. A search area setting unit sets a search area to be used for image correlation processing based on the control points correlated by the control point search unit, and sets respective data blocks, i.e., a reference data block and a search data block. An arithmetic operation unit executes orientation calculation, and image correlation processing (stereo matching) for the search area set by the search area setting unit. A display unit is a stereo monitor, a personal computer monitor or the like providing stereoscopic vision. A measuring unit executes additional measurement when the result of correlation processing is not satisfactory.

The invention discloses a method for improving garlic oil yield, which comprises: soaking fresh garlic or dry garlic slices in water; stirring for removing impurities such as soil; feeding the fresh garlic or dry garlic slices in a pulping machine and crushing; adding an allinase activity regulator; performing enzymolysis; adding a transforming agent; feeding; distilling; feeding distillate into distilling equipment; taking an oil phase out, wherein the oil phase is coarse garlic oil; drying the garlic oil by a silicagel column; and removing residual moisture and obtaining the garlic oil. Themethod has the main advantages that: when the proper transforming agent is added, the distillation time is reduced by 20 percent, the garlic oil yield is improved to 1 to 3 times, and the content of each of the components such as diallyl disulfide, diallyl trisulfide, diallyl sulfide, allyl methyl sulfide, allyl methyl disulphide, allyl methyl trisulphide, propenethiol and methyl merecaptan is improved to over 3 times; and equipment investment is not increased, as only a proper amount transforming agent is added on the basis of the original distillation garlic oil production line.

The invention relates to a scheduling method considering incoming water correlation cascade hydropower stations, the method is characterized in that, the method comprises the following steps: 1) a cascade hydropower stations random scheduled mathematical model is established; 2) random natural incoming water variables related to the cascade hydropower stations are sampled, and a sample matrix Rs is obtained; 3) a vector quantization algorithm is adopted to arrange all sample scenes in sample matrix Rs, various sample scenes are distributed to different scene kinds, and core scene sets of various scene kinds are acquired; 4) according to the cascade hydropower stations random scheduled mathematical model and core scene sets, a sensitivity analysis method is adopted to randomly schedule, schedule target objective function YRs of all sample scenes in the sample matrix Rs are acquired; 5) the schedule target objective function YRs are calculated to acquire probability statistics information of scheduling benefits. Compared with the technology in the prior art, the method provided by the invention has advantages of fast, reliability, high selectivity, considered incoming water correlation, wide application range and the like.

In molecular simulation including the step of calculating non-bonding interactions in a system having particles with electric charges, using a multigrid method, upon determining the electric charges at grid points in a coarser grid of a higher level that is one step higher than the level to be observed, when a pair of grid points in the observed level, or a pair of particles in the observed level, both coincide with the grid points of the grid of the higher level, the charges at the grid points of the higher level are determined so that the energy of the pair in the higher level becomes equal to the correct energy value in the observed level.

A hotspot correction method is provided. The layout patterns in the hotspot regions are accurately corrected by using an ILT method. Then the layout patterns in the extension regions are corrected by using an OPC method. As a result, the layout patterns in the hotspot regions can be accurately corrected while pattern distortion of the extension regions generated due to the regional ILT correction can be prevented. Moreover, high demanding of calculation capability and long calculation time of global ILT correction can be avoided.

A flow analysis system is provided comprising a fully automatic and dynamic system for performing flow analysis on solid models. The system combines aspects of the mid-plane generation and prismatic filling systems in a way that is transparent to the user. The generation of a mid-plane mesh and the flow analysis of the mesh proceed in parallel. The analysis can be halted at any stage, at which point the user can visualize the results of the partial analysis. The data on which the analysis is being performed, the mid-plane mesh, is totally invisible to the user. This system also uses prismatic solid mesh generation to give the user the ability to view cross sections of the models after the analysis stage.

The invention relates to a deep space probe autonomous mission planning time constraint geometric processing method and belongs to the technical field of deep space exploration. The invention discloses a method for verifying time constraint consistency (active variable value domain can meet all constraints) and geometrically processing the constraints, so that the time constraint consistency in the planning process of a deep space probe can be verified and time constraint is processed quickly, the final active variable value domain can be obtained, and the defect of long calculation time caused by adopting a time constraint network to process a large number of active variables is solved. Compared with the time processing method based on the time constraint network, the method in the invention solves the same time constraint problem, the computation time is short and efficiency is high; and the method is more suitable for the deep space probe having high real-time performance requirement.